In [1]:
import os
os.environ['USE_PYGEOS'] = '0'

import geopandas as gpd
from  fiona import listlayers

#maps
canadaMaps='https://github.com/AnaLuciaChamorro/geoCanadadf/raw/main/maps/countryMaps.gpkg'

#layers in maps
listlayers(canadaMaps)
Out[1]:
['provinces', 'cities', 'rivers', 'lakes', 'road']
In [3]:
#obtenemos las capas de cada mapa
provinces=gpd.read_file(canadaMaps,layer='provinces')
cities=gpd.read_file(canadaMaps,layer='cities')
rivers=gpd.read_file(canadaMaps,layer='rivers')
lakes=gpd.read_file(canadaMaps,layer='lakes')
road=gpd.read_file(canadaMaps,layer='road')
In [4]:
#verificamos que las capas tengan el mismo crs
provinces.crs.to_epsg()==cities.crs.to_epsg()==rivers.crs.to_epsg()==lakes.crs.to_epsg()==road.crs.to_epsg()
Out[4]:
True
In [5]:
# trabajaremos con Alberta
alberta=provinces[provinces.PROVINCIA=='Alberta']

# clipping
cities_clipped = cities.clip(alberta)
rivers_clipped = rivers.clip(alberta)
lakes_clipped = lakes.clip(alberta)
road_clipped = road.clip(alberta)

# plotting
base = alberta.plot(facecolor="lightcyan", edgecolor='gray', linewidth=0.4,figsize=(5,5))
cities_clipped.plot(marker='*', color='deeppink', markersize=15,ax=base)
rivers_clipped.plot(edgecolor='steelblue', linewidth=0.3,ax=base)
lakes_clipped.plot(facecolor="thistle", edgecolor='gray', linewidth=0.4,figsize=(5,5), markersize=15,ax=base)
road_clipped.plot(edgecolor='mediumpurple', linewidth=0.5,ax=base)
Out[5]:
<Axes: >
In [6]:
#Ejercicio 1
In [7]:
# unit is in degrees:
alberta.crs.axis_info
Out[7]:
[Axis(name=Geodetic latitude, abbrev=Lat, direction=north, unit_auth_code=EPSG, unit_code=9122, unit_name=degree),
 Axis(name=Geodetic longitude, abbrev=Lon, direction=east, unit_auth_code=EPSG, unit_code=9122, unit_name=degree)]
In [8]:
# centroide
alberta.centroid

C:\Users\USUARIO}\AppData\Local\Temp\ipykernel_4744\3039830095.py:2: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.

  alberta.centroid
Out[8]:
5    POINT (-114.50705 55.16362)
dtype: geometry
In [9]:
#buscamos la proyección del centroide
alberta.to_crs(3402).crs.axis_info
Out[9]:
[Axis(name=Easting, abbrev=E, direction=east, unit_auth_code=EPSG, unit_code=9001, unit_name=metre),
 Axis(name=Northing, abbrev=N, direction=north, unit_auth_code=EPSG, unit_code=9001, unit_name=metre)]
In [10]:
alberta.to_crs(3402).centroid
Out[10]:
5    POINT (537992.852 6093895.213)
dtype: geometry
In [11]:
base3402=alberta.to_crs(3402).plot()
alberta.to_crs(3402).centroid.plot(color='red',ax=base3402)
Out[11]:
<Axes: >
In [12]:
from matplotlib import pyplot

fig, (ax1, ax2) = pyplot.subplots(ncols=2, sharex=False, sharey=False, figsize=(12,12))

ax1.set_title('projected (3402)',fontsize=10)
alberta.to_crs(3402).plot(ax=ax1)
alberta.to_crs(3402).centroid.plot(color='red',ax=ax1)

ax2.set_title('unprojected',fontsize=10)
alberta.plot(ax=ax2)
alberta.centroid.plot(color='red',ax=ax2)

C:\Users\USUARIO}\AppData\Local\Temp\ipykernel_4744\3859655629.py:11: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.

  alberta.centroid.plot(color='red',ax=ax2)
Out[12]:
<Axes: title={'center': 'unprojected'}>
In [13]:
alberta_3402=alberta.to_crs(3402)
# solo alberta

cities_3402=cities.to_crs(alberta_3402.crs)
cities_3402=cities_3402[cities_3402.PROVINCIA=='Alberta']

rivers_3402=rivers.to_crs(alberta_3402.crs)
rivers_3402=gpd.clip(gdf=rivers_3402,mask=alberta_3402)

lakes_3402=lakes.to_crs(alberta_3402.crs)
lakes_3402=gpd.clip(gdf=lakes_3402,mask=alberta_3402)

road_3402=road.to_crs(alberta_3402.crs)
road_3402=gpd.clip(gdf=road_3402,mask=alberta_3402)
In [14]:
# guardamos como gpkg
import os

alberta_3402.to_file(os.path.join("maps","albertaMaps_3402.gpkg"), layer='provinces', driver="GPKG")
cities_3402.to_file(os.path.join("maps","albertaMaps_3402.gpkg"), layer='cities', driver="GPKG")
rivers_3402.to_file(os.path.join("maps","albertaMaps_3402.gpkg"), layer='rivers', driver="GPKG")
lakes_3402.to_file(os.path.join("maps","albertaMaps_3402.gpkg"), layer='lakes', driver="GPKG")
road_3402.to_file(os.path.join("maps","albertaMaps_3402.gpkg"), layer='road', driver="GPKG")
In [15]:
# Ejercicio 2
In [146]:
#verificamos que sea un multipolígono
alberta_3402
Out[146]:
CÓDIGO PROVINCIA geometry
5 CA01 Alberta POLYGON ((827410.883 5993333.680, 865400.104 5...
In [17]:
# como Alberta no es multipolígono, elegimos otra provincia
provinces
Out[17]:
CÓDIGO PROVINCIA geometry
0 CA10 Quebec MULTIPOLYGON (((-70.90417 46.91360, -71.13028 ...
1 CA13 Nunavut MULTIPOLYGON (((-79.32224 52.03166, -79.31973 ...
2 CA06 Territorios del Noroeste MULTIPOLYGON (((-135.33780 69.38861, -135.3394...
3 CA07 Nueva Escocia MULTIPOLYGON (((-66.76112 44.67610, -66.90028 ...
4 CA11 Saskatchewan POLYGON ((-104.70990 59.99977, -104.27070 59.9...
5 CA01 Alberta POLYGON ((-110.00050 54.00573, -110.00140 49.0...
6 CA05 Labrador y Terranova MULTIPOLYGON (((-54.12500 47.64083, -54.24333 ...
7 CA02 Columbia Británica MULTIPOLYGON (((-123.57720 48.92916, -123.4339...
8 CA04 Nuevo Brunswick MULTIPOLYGON (((-64.48277 47.91777, -64.51472 ...
9 CA09 Isla del Príncipe Eduardo POLYGON ((-63.88222 46.64555, -63.90417 46.603...
10 CA12 Yukón MULTIPOLYGON (((-141.00301 69.64236, -140.3961...
11 CA03 Manitoba POLYGON ((-102.00170 59.99992, -100.03900 59.9...
12 CA08 Ontario MULTIPOLYGON (((-82.81000 45.99249, -82.84222 ...
In [21]:
#Quebec
quebec=provinces[provinces.PROVINCIA=='Quebec']
base32098=quebec.to_crs(32098).plot()
quebec.to_crs(32098).centroid.plot(color='red',ax=base32098)
Out[21]:
<Axes: >
In [23]:
quebec_32098=quebec.to_crs(32098)
#Obtenemos solo el borde de Quebec
quebec_32098.boundary
Out[23]:
0    MULTILINESTRING ((-182833.642 327289.291, -200...
dtype: geometry
In [24]:
type(quebec_32098.boundary)
Out[24]:
geopandas.geoseries.GeoSeries
In [43]:
#borde de Quebec
quebec_32098.boundary.plot()
Out[43]:
<Axes: >
In [25]:
# convertimos en GDF y lo guardamos
quebec_32098DF=quebec_32098.boundary.to_frame()
In [26]:
#nueva columna
quebec_32098DF['name']='Quebec' 

# Renombramos el nombre de la columna
quebec_32098DF.rename(columns={0:'geometry'},inplace=True) 

#definimos la geometría
quebec_32098DF = quebec_32098DF.set_geometry("geometry")

# verificamos
quebec_32098DF.crs
Out[26]:
<Projected CRS: EPSG:32098>
Name: NAD27 / Quebec Lambert
Axis Info [cartesian]:
- X[east]: Easting (metre)
- Y[north]: Northing (metre)
Area of Use:
- name: Canada - Quebec.
- bounds: (-79.85, 44.99, -57.1, 62.62)
Coordinate Operation:
- name: Quebec Lambert Projection
- method: Lambert Conic Conformal (2SP)
Datum: North American Datum 1927
- Ellipsoid: Clarke 1866
- Prime Meridian: Greenwich
In [151]:
#Ejercicio 3
In [22]:
#Ahora trabajaremos con Canadá, para ellos utilizaremos el siguiente código (A nivel mundial)
worldMaps='https://github.com/CienciaDeDatosEspacial/code_and_data/raw/main/maps/worldMaps.gpkg'

#layers con los mapas
listlayers(worldMaps)
Out[22]:
['countries', 'cities', 'rivers']
In [23]:
#obtenemos las capas de cada mapa del mundo
countries=gpd.read_file(worldMaps,layer='countries')
cities=gpd.read_file(worldMaps,layer='cities')
rivers=gpd.read_file(worldMaps,layer='rivers')
In [24]:
#verificamos que las capas tengan el mismo crs
countries.crs.to_epsg()==cities.crs.to_epsg()==rivers.crs.to_epsg()
Out[24]:
True
In [25]:
# trabajaremos con Canada
canada=countries[countries.COUNTRY=='Canada']

# seleccionamos solo la parte con la que trabajaremos
canada_cities= gpd.clip(gdf=cities,mask=canada)
canada_rivers = gpd.clip(gdf=rivers,mask=canada)

# ploteamos nuestro mapa
base = canada.plot(facecolor="lightcyan", edgecolor='gray', linewidth=0.4,figsize=(5,5))
canada_cities.plot(marker='*', color='deeppink', markersize=15,ax=base)
canada_rivers.plot(edgecolor='mediumpurple', linewidth=0.5,ax=base)
Out[25]:
<Axes: >
In [49]:
#buscamos la proyección del centroide
canada.to_crs(3347).crs.axis_info
Out[49]:
[Axis(name=Easting, abbrev=E, direction=east, unit_auth_code=EPSG, unit_code=9001, unit_name=metre),
 Axis(name=Northing, abbrev=N, direction=north, unit_auth_code=EPSG, unit_code=9001, unit_name=metre)]
In [52]:
canada.to_crs(3347).centroid

#ploteamos la versión proyectada con el centroide de Canadá
base3347=canada.to_crs(3347).plot()
canada.to_crs(3347).centroid.plot(color='red',ax=base3347)
Out[52]:
<Axes: >
In [2]:
#Buscamos información para obtener las provincias y censos de Canadá
canada_provinces=gpd.read_file(os.path.join("maps","lpr_000b21a_e","lpr_000b21a_e.shp"))
In [34]:
canada_provinces.crs
Out[34]:
<Projected CRS: EPSG:3347>
Name: NAD83 / Statistics Canada Lambert
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: Canada - onshore and offshore - Alberta; British Columbia; Manitoba; New Brunswick; Newfoundland and Labrador; Northwest Territories; Nova Scotia; Nunavut; Ontario; Prince Edward Island; Quebec; Saskatchewan; Yukon.
- bounds: (-141.01, 38.21, -40.73, 86.46)
Coordinate Operation:
- name: Statistics Canada Lambert
- method: Lambert Conic Conformal (2SP)
Datum: North American Datum 1983
- Ellipsoid: GRS 1980
- Prime Meridian: Greenwich
In [35]:
canada_provinces
Out[35]:
PRUID DGUID PRNAME PRENAME PRFNAME PREABBR PRFABBR LANDAREA geometry
0 10 2021A000210 Newfoundland and Labrador / Terre-Neuve-et-Lab... Newfoundland and Labrador Terre-Neuve-et-Labrador N.L. T.-N.-L. 3.581704e+05 MULTIPOLYGON (((8841194.729 2213093.663, 88411...
1 11 2021A000211 Prince Edward Island / Île-du-Prince-Édouard Prince Edward Island Île-du-Prince-Édouard P.E.I. Î.-P.-É. 5.681179e+03 MULTIPOLYGON (((8374335.443 1629502.597, 83743...
2 12 2021A000212 Nova Scotia / Nouvelle-Écosse Nova Scotia Nouvelle-Écosse N.S. N.-É. 5.282471e+04 MULTIPOLYGON (((8310463.217 1250722.263, 83104...
3 13 2021A000213 New Brunswick / Nouveau-Brunswick New Brunswick Nouveau-Brunswick N.B. N.-B. 7.124850e+04 MULTIPOLYGON (((7964100.720 1576822.289, 79641...
4 24 2021A000224 Quebec / Québec Quebec Québec Que. Qc 1.298600e+06 MULTIPOLYGON (((6948393.211 2760814.626, 69483...
5 35 2021A000235 Ontario Ontario Ontario Ont. Ont. 8.924118e+05 MULTIPOLYGON (((7146731.034 1071348.914, 71467...
6 46 2021A000246 Manitoba Manitoba Manitoba Man. Man. 5.403102e+05 MULTIPOLYGON (((6036427.023 2552091.071, 60364...
7 47 2021A000247 Saskatchewan Saskatchewan Saskatchewan Sask. Sask. 5.770604e+05 POLYGON ((5248633.914 2767057.263, 5249285.640...
8 48 2021A000248 Alberta Alberta Alberta Alta. Alb. 6.346583e+05 POLYGON ((5228304.177 2767597.891, 5228098.463...
9 59 2021A000259 British Columbia / Colombie-Britannique British Columbia Colombie-Britannique B.C. C.-B. 9.206866e+05 MULTIPOLYGON (((3843551.097 2389750.100, 38435...
10 60 2021A000260 Yukon Yukon Yukon Y.T. Yn 4.723454e+05 MULTIPOLYGON (((4573723.537 4214993.163, 45737...
11 61 2021A000261 Northwest Territories / Territoires du Nord-Ouest Northwest Territories Territoires du Nord-Ouest N.W.T. T.N.-O. 1.127712e+06 MULTIPOLYGON (((5484328.789 3866905.254, 54843...
12 62 2021A000262 Nunavut Nunavut Nunavut Nvt. Nt 1.836994e+06 MULTIPOLYGON (((6990267.260 1768670.111, 69902...
In [3]:
canada_census=gpd.read_file(os.path.join("maps","lcd_000b21a_e","lcd_000b21a_e.shp"))
In [37]:
canada_census
Out[37]:
CDUID DGUID CDNAME CDTYPE LANDAREA PRUID geometry
0 1001 2021A00031001 Division No. 1 CDR 9104.5799 10 MULTIPOLYGON (((8991051.954 2038839.069, 89910...
1 1002 2021A00031002 Division No. 2 CDR 5915.5695 10 MULTIPOLYGON (((8887835.569 2084264.706, 88878...
2 1003 2021A00031003 Division No. 3 CDR 19272.1069 10 MULTIPOLYGON (((8666126.603 1955816.189, 86661...
3 1004 2021A00031004 Division No. 4 CDR 7019.9723 10 MULTIPOLYGON (((8536466.374 1926979.874, 85364...
4 1005 2021A00031005 Division No. 5 CDR 10293.7618 10 MULTIPOLYGON (((8528149.243 2085441.331, 85281...
... ... ... ... ... ... ... ...
288 6105 2021A00036105 Region 5 REG 152135.9223 61 POLYGON ((5316301.989 3076090.949, 5332928.611...
289 6106 2021A00036106 Region 6 REG 182201.5022 61 POLYGON ((5233904.580 3460235.340, 5284583.063...
290 6204 2021A00036204 Qikiqtaaluk REG 970554.6112 62 MULTIPOLYGON (((6990267.260 1768670.111, 69902...
291 6205 2021A00036205 Kivalliq REG 434331.1614 62 MULTIPOLYGON (((6046392.443 2518833.014, 60464...
292 6208 2021A00036208 Kitikmeot REG 432108.0040 62 MULTIPOLYGON (((5541699.500 3510034.311, 55416...

293 rows × 7 columns

In [39]:
canada_census.crs
Out[39]:
<Projected CRS: EPSG:3347>
Name: NAD83 / Statistics Canada Lambert
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: Canada - onshore and offshore - Alberta; British Columbia; Manitoba; New Brunswick; Newfoundland and Labrador; Northwest Territories; Nova Scotia; Nunavut; Ontario; Prince Edward Island; Quebec; Saskatchewan; Yukon.
- bounds: (-141.01, 38.21, -40.73, 86.46)
Coordinate Operation:
- name: Statistics Canada Lambert
- method: Lambert Conic Conformal (2SP)
Datum: North American Datum 1983
- Ellipsoid: GRS 1980
- Prime Meridian: Greenwich
In [54]:
#plotemaos el mapa de Canadá provincias y censos
fig, (ax1, ax2) = pyplot.subplots(ncols=2, sharex=False, sharey=False, figsize=(12,12))

canada_provinces.plot(ax=ax1, facecolor='lightgrey', edgecolor='black')
canada_census.plot(ax=ax2, facecolor='lightgrey', edgecolor='black',linewidth=0.2)
In [57]:
#Como los crs de los censos y las provincias de Canadá coinciden, no necesitamos cambiarlos
#Ahora lo guardamos los layers obtenidos
canada_provinces.to_file(os.path.join("maps","canada_provinces_3347.gpkg"), layer='provinces', driver="GPKG")
canada_census.to_file(os.path.join("maps","canada_census_3347.gpkg"), layer='census', driver="GPKG")
In [58]:
#Ejercicio 4
In [91]:
#Asignamos el crs de nuestro país a la siguiente variable
canada_3347=canada.to_crs(3347)
In [62]:
centroCanada=canada_3347.centroid
#Dividiremos nuestro mapa en norte y sur 
fig, axs = pyplot.subplots(ncols=2,sharex=False, sharey=False,figsize=(8,8))

axs[0].set_title('Above_Centroid',fontsize=5)
canada_census.cx[:, centroCanada.y:].plot(ax=axs[0]) 

axs[1].set_title('Below_Centroid',fontsize=5)
canada_census.cx[:, :centroCanada.y].plot(ax=axs[1]) 

C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
Out[62]:
<Axes: title={'center': 'Below_Centroid'}>
In [63]:
#Dividiremos nuestro mapa en norte y sur 
fig, axs = pyplot.subplots(ncols=2,sharex=False, sharey=False,figsize=(8,8))

axs[0].set_title('Above_Centroid',fontsize=5)
canada_provinces.cx[:, centroCanada.y:].plot(ax=axs[0]) 

axs[1].set_title('Below_Centroid',fontsize=5)
canada_provinces.cx[:, :centroCanada.y].plot(ax=axs[1]) 

C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
Out[63]:
<Axes: title={'center': 'Below_Centroid'}>
In [67]:
#Trabjaremos con el norte de nuestro país
Canada_topNorth=canada_census.cx[:,centroCanada.y:].dissolve()
Canada_topNorth

C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
Out[67]:
geometry CDUID DGUID CDNAME CDTYPE LANDAREA PRUID
0 MULTIPOLYGON (((3698565.423 2568543.540, 36985... 1010 2021A00031010 Division No. 10 CDR 191691.0863 10
In [70]:
#Graficamos el norte de Canadá
Canada_topNorth['zone']='N'
Canada_topNorth=Canada_topNorth.loc[:,['CDNAME','zone','geometry']]   
Canada_topNorth
Out[70]:
CDNAME zone geometry
0 Division No. 10 N MULTIPOLYGON (((3698565.423 2568543.540, 36985...
In [71]:
#Ploteamos
Canada_topNorth.plot()
Out[71]:
<Axes: >
In [72]:
rowsCX=(canada_census.cx[:,centroCanada.y:].shape[0],\
canada_census.cx[:, :centroCanada.y].shape[0])
sum(rowsCX)

C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
C:\Users\USUARIO}\.conda\envs\geopandas\lib\site-packages\shapely\geometry\polygon.py:91: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead
  return [float(c) for c in o]
Out[72]:
306
In [73]:
sum(rowsCX)-canada_census.shape[0]
#Se repiten 13 censos
Out[73]:
13
In [74]:
#Ejercicio 5 (extra)
In [6]:
import pandas as pd 
infoairports=pd.read_csv(os.path.join("data","ca-airports.csv"))

#algunas filas
infoairports.iloc[[0,1,2,3,-4,-3,-2,-1],:]
Out[6]:
id ident type name latitude_deg longitude_deg elevation_ft continent country_name iso_country ... municipality scheduled_service gps_code iata_code local_code home_link wikipedia_link keywords score last_updated
0 #meta +id #meta +code #loc +airport +type #loc +airport +name #geo +lat #geo +lon #geo +elevation +ft #region +continent +code #country +name #country +code +iso2 ... #loc +municipality +name #status +scheduled #loc +airport +code +gps #loc +airport +code +iata #loc +airport +code +local #meta +url +airport #meta +url +wikipedia #meta +keywords #meta +score #date +updated
1 1990 CYYZ large_airport Toronto Lester B. Pearson International Airport 43.6772 -79.6306 569 NaN Canada CA ... Toronto 1 CYYZ YYZ YYZ http://www.gtaa.com/ https://en.wikipedia.org/wiki/Toronto_Pearson_... YTO, Toronto International Airport, Malton 1040275 2023-05-11T14:58:13+00:00
2 1941 CYVR large_airport Vancouver International Airport 49.193901062 -123.183998108 14 NaN Canada CA ... Vancouver 1 CYVR YVR NaN http://www.yvr.ca/ https://en.wikipedia.org/wiki/Vancouver_Intern... NaN 1018875 2013-07-22T11:09:16+00:00
3 1928 CYUL large_airport Montreal / Pierre Elliott Trudeau Internationa... 45.4706001282 -73.7407989502 118 NaN Canada CA ... Montréal 1 CYUL YUL YUL http://www.admtl.com/passager/Home.aspx https://en.wikipedia.org/wiki/Montr%C3%A9al-Pi... YMQ, Dorval Airport 51875 2014-03-16T22:14:44+00:00
3030 320714 CA-0659 closed Yahk Aerodrome 49.109 -116.0598 2870 NaN Canada CA ... Yahk 0 NaN NaN NaN NaN NaN NaN 0 2022-11-23T12:47:24+00:00
3031 39705 CA-0059 closed Brazeau Airport 52.967817 -115.86737 NaN NaN Canada CA ... Yellowhead 0 NaN NaN NaN NaN NaN NaN 0 2021-02-18T17:19:40+00:00
3032 40067 CA-0421 closed E C Air Airport 51.53614 -111.19324 NaN NaN Canada CA ... Youngstown 0 NaN NaN NaN NaN NaN NaN 0 2022-12-03T06:44:57+00:00
3033 40068 CA-0422 closed Yoyo Airport 58.9258 -121.473201 1950 NaN Canada CA ... Yoyo 0 NaN NaN NaN NaN NaN BL8, BL8 0 2016-09-10T06:55:25+00:00

8 rows × 23 columns

In [7]:
# #eliminamos la primera fila
infoairports.drop(index=0,inplace=True)
infoairports.reset_index(drop=True, inplace=True)
infoairports.head()
Out[7]:
id ident type name latitude_deg longitude_deg elevation_ft continent country_name iso_country ... municipality scheduled_service gps_code iata_code local_code home_link wikipedia_link keywords score last_updated
0 1990 CYYZ large_airport Toronto Lester B. Pearson International Airport 43.6772 -79.6306 569 NaN Canada CA ... Toronto 1 CYYZ YYZ YYZ http://www.gtaa.com/ https://en.wikipedia.org/wiki/Toronto_Pearson_... YTO, Toronto International Airport, Malton 1040275 2023-05-11T14:58:13+00:00
1 1941 CYVR large_airport Vancouver International Airport 49.193901062 -123.183998108 14 NaN Canada CA ... Vancouver 1 CYVR YVR NaN http://www.yvr.ca/ https://en.wikipedia.org/wiki/Vancouver_Intern... NaN 1018875 2013-07-22T11:09:16+00:00
2 1928 CYUL large_airport Montreal / Pierre Elliott Trudeau Internationa... 45.4706001282 -73.7407989502 118 NaN Canada CA ... Montréal 1 CYUL YUL YUL http://www.admtl.com/passager/Home.aspx https://en.wikipedia.org/wiki/Montr%C3%A9al-Pi... YMQ, Dorval Airport 51875 2014-03-16T22:14:44+00:00
3 1973 CYYC large_airport Calgary International Airport 51.113899231 -114.019996643 3557 NaN Canada CA ... Calgary 1 CYYC YYC NaN http://www.calgaryairport.com/ https://en.wikipedia.org/wiki/Calgary_Internat... McCall Field 51275 2014-03-18T23:08:53+00:00
4 1840 CYOW large_airport Ottawa Macdonald-Cartier International Airport 45.322498 -75.669197 374 NaN Canada CA ... Ottawa 1 CYOW YOW YOW https://yow.ca/ https://en.wikipedia.org/wiki/Ottawa_Macdonald... Uplands, UUP, CUUP 1275 2022-11-06T16:37:56+00:00

5 rows × 23 columns

In [8]:
# verificamos que columna necesitaremos
infoairports.columns.to_list()
Out[8]:
['id',
 'ident',
 'type',
 'name',
 'latitude_deg',
 'longitude_deg',
 'elevation_ft',
 'continent',
 'country_name',
 'iso_country',
 'region_name',
 'iso_region',
 'local_region',
 'municipality',
 'scheduled_service',
 'gps_code',
 'iata_code',
 'local_code',
 'home_link',
 'wikipedia_link',
 'keywords',
 'score',
 'last_updated']
In [9]:
#nos quedaremos con las columnas: nombre, tipo, latitud, longitud, elevacion, nombre de la region y municipalidad
keep=['name','type','latitude_deg', 'longitude_deg','elevation_ft','region_name','municipality']
infoairports=infoairports.loc[:,keep]
In [10]:
#verificamos las columnas con las que nos quedamos (vemos el tipo)
infoairports.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3033 entries, 0 to 3032
Data columns (total 7 columns):
 #   Column         Non-Null Count  Dtype 
---  ------         --------------  ----- 
 0   name           3033 non-null   object
 1   type           3033 non-null   object
 2   latitude_deg   3033 non-null   object
 3   longitude_deg  3033 non-null   object
 4   elevation_ft   2511 non-null   object
 5   region_name    3033 non-null   object
 6   municipality   2461 non-null   object
dtypes: object(7)
memory usage: 166.0+ KB
In [14]:
#cambiamos a numéricos las columnas de latitud, longitud y elevación
numericColumns=['latitude_deg', 'longitude_deg','elevation_ft']
infoairports[numericColumns]=infoairports.loc[:,numericColumns].apply(lambda x:pd.to_numeric(x))

#verificamos los cambios hechos
infoairports.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3033 entries, 0 to 3032
Data columns (total 7 columns):
 #   Column         Non-Null Count  Dtype  
---  ------         --------------  -----  
 0   name           3033 non-null   object 
 1   type           3033 non-null   object 
 2   latitude_deg   3033 non-null   float64
 3   longitude_deg  3033 non-null   float64
 4   elevation_ft   2511 non-null   float64
 5   region_name    3033 non-null   object 
 6   municipality   2461 non-null   object 
dtypes: float64(3), object(4)
memory usage: 166.0+ KB
In [49]:
# realizamos el plot, no proyectado, es decir en grados
base = canada.plot(color='white', edgecolor='black')

infoairports.plot.scatter(x = 'longitude_deg', y = 'latitude_deg',ax=base)
Out[49]:
<Axes: xlabel='longitude_deg', ylabel='latitude_deg'>
In [38]:
infoairports
Out[38]:
name type latitude_deg longitude_deg elevation_ft region_name municipality
0 Toronto Lester B. Pearson International Airport large_airport 43.677200 -79.630600 569.0 Ontario Toronto
1 Vancouver International Airport large_airport 49.193901 -123.183998 14.0 British Columbia Vancouver
2 Montreal / Pierre Elliott Trudeau Internationa... large_airport 45.470600 -73.740799 118.0 Quebec Montréal
3 Calgary International Airport large_airport 51.113899 -114.019997 3557.0 Alberta Calgary
4 Ottawa Macdonald-Cartier International Airport large_airport 45.322498 -75.669197 374.0 Ontario Ottawa
... ... ... ... ... ... ... ...
3028 Cow Creek Airport closed 42.984340 -82.201140 643.0 Ontario Wyoming
3029 Yahk Aerodrome closed 49.109000 -116.059800 2870.0 British Columbia Yahk
3030 Brazeau Airport closed 52.967817 -115.867370 NaN Alberta Yellowhead
3031 E C Air Airport closed 51.536140 -111.193240 NaN Alberta Youngstown
3032 Yoyo Airport closed 58.925800 -121.473201 1950.0 British Columbia Yoyo

3033 rows × 7 columns

In [55]:
#Como observamos en el plot hay unos puntos que malogran el grafico, por eso buscamos en cual de las filas está una que se aleja de los valores promedios
filtro = (infoairports['latitude_deg'] < 20) & (infoairports['longitude_deg'] > -50)
resultados = infoairports[filtro]
print(resultados)

                                             name      type  latitude_deg  \
2739          (Duplicate)Little Red River Airport    closed          0.03   
2965  (Duplicate)Tofino Lifeboat Station Heliport  heliport          0.01   

      longitude_deg  elevation_ft       region_name           municipality  
2739          -0.05         845.0           Alberta  Little Red River Cree  
2965          -0.02           NaN  British Columbia                 Tofino
In [56]:
#Ahora imprimimos todas nuestras filas para verificar los resultados anteriores
# Ajustar la opción de visualización para mostrar todas las filas
pd.set_option('display.max_rows', None)

# Aplicar el filtro
filtro = (infoairports['latitude_deg'] < 20) & (infoairports['longitude_deg'] > -50)

# Mostrar el resultado del filtro
print(filtro)

0       False
1       False
2       False
3       False
4       False
5       False
6       False
7       False
8       False
9       False
10      False
11      False
12      False
13      False
14      False
15      False
16      False
17      False
18      False
19      False
20      False
21      False
22      False
23      False
24      False
25      False
26      False
27      False
28      False
29      False
30      False
31      False
32      False
33      False
34      False
35      False
36      False
37      False
38      False
39      False
40      False
41      False
42      False
43      False
44      False
45      False
46      False
47      False
48      False
49      False
50      False
51      False
52      False
53      False
54      False
55      False
56      False
57      False
58      False
59      False
60      False
61      False
62      False
63      False
64      False
65      False
66      False
67      False
68      False
69      False
70      False
71      False
72      False
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75      False
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100     False
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830     False
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1000    False
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1120    False
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1128    False
1129    False
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1140    False
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1144    False
1145    False
1146    False
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dtype: bool
In [59]:
# Eliminar las filas 2739 y 2965 del DataFrame
infoairports.drop([2739, 2965], inplace=True)
In [60]:
# Con los cambios realizados realizamos el plot, no proyectado, es decir en grados
base = canada.plot(color='white', edgecolor='black')

infoairports.plot.scatter(x = 'longitude_deg', y = 'latitude_deg',ax=base)
Out[60]:
<Axes: xlabel='longitude_deg', ylabel='latitude_deg'>
In [65]:
#Convertimos en GeoDataFrame
airports=gpd.GeoDataFrame(data=infoairports.copy(),
                 geometry=gpd.points_from_xy(infoairports.longitude_deg,
                                             infoairports.latitude_deg), 
                 crs=canada.crs.to_epsg())
In [66]:
#ploteamos el mapa
base = canada.plot(color='white', edgecolor='black')
airports.plot(ax=base)
Out[66]:
<Axes: >
In [67]:
#verificamos que se haya convertido en GDF
type(airports), type(infoairports)
Out[67]:
(geopandas.geodataframe.GeoDataFrame, pandas.core.frame.DataFrame)
In [68]:
#proyectamos con el valor correcto de crs (EPSG)
airports.to_crs(3347).plot()
Out[68]:
<Axes: >
In [69]:
#guardamos el mapa proyectado
airports_3347=airports.to_crs(3347)
In [70]:
#vemos que tipos de aeropuertos tenemos
airports_3347['type'].value_counts()
Out[70]:
type
small_airport     1071
closed             745
heliport           471
seaplane_base      399
medium_airport     329
large_airport       13
balloonport          1
Name: count, dtype: int64
In [71]:
#renombramos las columnas de type
airports_3347.rename(columns={'type':'kind'},inplace=True)
In [73]:
from folium import LayerControl


m = airports_3347[airports_3347.kind=='small_airport'].explore(color="deeppink",name="small",show=False)
m = airports_3347[airports_3347.kind=='medium_airport'].explore(m=m, color="dodgerblue",name="medium",show=False)
m = airports_3347[airports_3347.kind=='large_airport'].explore(m=m, color="gray",name="large",show=True)
m = airports_3347[airports_3347.kind=='seaplane_base'].explore(m=m, color="greenyellow",name="seaplane",show=False)
m = airports_3347[airports_3347.kind=='closed'].explore(m=m, color="yellow",name="closed",show=False)
m = airports_3347[airports_3347.kind=='heliport'].explore(m=m, color="orange",name="heliport",show=False)

LayerControl(collapsed=False).add_to(m)

m
Out[73]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [74]:
#exportamos el mapa proyectado como gpkg
airports_3347.to_file(os.path.join("maps","airports_3347.gpkg"),layer='airports', driver="GPKG")
In [75]:
#Ejercicio 6
In [77]:
#creamos un convex hull de Canadá
canada.convex_hull.plot()
Out[77]:
<Axes: >
In [78]:
medium_airport=airports_3347[airports_3347.kind=='medium_airport']
#filas que cumplen con la condición de aeropuertos medianos 
medium_airport
Out[78]:
name kind latitude_deg longitude_deg elevation_ft region_name municipality geometry
5 Billy Bishop Toronto City Centre Airport medium_airport 43.627499 -79.396202 252.0 Ontario Toronto POINT (7224333.646 925621.026)
11 London Airport medium_airport 43.035599 -81.153900 912.0 Ontario London POINT (7092745.018 832780.612)
12 John C. Munro Hamilton International Airport medium_airport 43.173599 -79.934998 780.0 Ontario Hamilton POINT (7190253.037 866321.421)
13 Regina International Airport medium_airport 50.431900 -104.666000 1894.0 Saskatchewan Regina POINT (5301503.877 1678527.853)
14 Kelowna International Airport medium_airport 49.956100 -119.377998 1421.0 British Columbia Kelowna POINT (4293620.839 1953961.073)
15 Saskatoon John G. Diefenbaker International Ai... medium_airport 52.170799 -106.699997 1653.0 Saskatchewan Saskatoon POINT (5205474.979 1896176.231)
16 Kingston Norman Rogers Airport medium_airport 44.225300 -76.596901 305.0 Ontario Kingston POINT (7434098.649 1041668.707)
17 Waterloo Airport medium_airport 43.460800 -80.378601 1055.0 Ontario Kitchener POINT (7147965.452 891745.232)
18 Montreal International (Mirabel) Airport medium_airport 45.679501 -74.038696 270.0 Quebec Montréal POINT (7590315.895 1253414.497)
19 Thunder Bay Airport medium_airport 48.371899 -89.323898 653.0 Ontario Thunder Bay POINT (6388804.328 1362829.160)
20 Buttonville Municipal Airport medium_airport 43.862202 -79.370003 650.0 Ontario Toronto POINT (7221246.708 952225.461)
22 Muskoka Airport medium_airport 44.974701 -79.303299 925.0 Ontario Muskoka POINT (7201875.179 1076978.996)
24 Gander International Airport / CFB Gander medium_airport 48.936258 -54.567719 496.0 Newfoundland and Labrador Gander POINT (8779404.434 2200630.278)
25 Peterborough Municipal Airport medium_airport 44.230000 -78.363297 628.0 Ontario Peterborough POINT (7293521.729 1009866.544)
26 Oshawa Executive Airport medium_airport 43.922798 -78.894997 460.0 Ontario Oshawa POINT (7258140.382 966739.794)
27 Greater Moncton Roméo LeBlanc International Ai... medium_airport 46.112202 -64.678596 232.0 New Brunswick Moncton POINT (8263258.405 1553816.416)
28 Montréal / Saint-Hubert Airport medium_airport 45.517502 -73.416901 90.0 Quebec Montréal POINT (7642687.632 1249731.768)
29 Niagara District Airport medium_airport 43.191700 -79.171700 321.0 Ontario Niagara-on-the-Lake POINT (7252375.041 880603.867)
31 Fredericton Airport medium_airport 45.868900 -66.537201 68.0 New Brunswick Fredericton POINT (8140667.346 1470224.185)
32 Ottawa / Rockcliffe Airport medium_airport 45.460300 -75.646103 188.0 Ontario Ottawa POINT (7474067.191 1195903.989)
36 Boundary Bay Airport medium_airport 49.074200 -123.012001 6.0 British Columbia Delta POINT (4014904.542 1983166.520)
37 Nanaimo Airport medium_airport 49.054970 -123.869863 92.0 British Columbia Nanaimo POINT (3958776.972 2011136.024)
38 Whitehorse / Erik Nielsen International Airport medium_airport 60.709599 -135.067001 2317.0 Yukon Whitehorse POINT (4081177.841 3458631.279)
39 Kamloops John Moose Fulton Field Regional Airport medium_airport 50.702202 -120.444000 1133.0 British Columbia Kamloops POINT (4260556.222 2060877.068)
40 Sudbury Airport medium_airport 46.625000 -80.798897 1141.0 Ontario Sudbury POINT (7051706.370 1237932.836)
41 Ottawa / Gatineau Airport medium_airport 45.521702 -75.563599 211.0 Quebec Gatineau POINT (7478649.248 1204261.607)
42 Charlottetown Airport medium_airport 46.290001 -63.121101 160.0 Prince Edward Island Charlottetown POINT (8364804.477 1623679.935)
43 Calgary / Springbank Airport medium_airport 51.103100 -114.374001 3940.0 Alberta Calgary POINT (4667996.367 1935921.592)
45 Goose Bay Airport medium_airport 53.319199 -60.425800 160.0 Newfoundland and Labrador Goose Bay POINT (8181807.067 2405873.251)
46 Goderich Airport medium_airport 43.766899 -81.710602 712.0 Ontario Goderich POINT (7033510.925 907428.796)
47 Wiarton Airport medium_airport 44.745800 -81.107201 729.0 Ontario Wiarton POINT (7063873.506 1025053.433)
49 Sault Ste Marie Airport medium_airport 46.485001 -84.509399 630.0 Ontario Sault Ste Marie POINT (6769582.807 1180901.323)
50 Windsor Airport medium_airport 42.275600 -82.955597 622.0 Ontario Windsor POINT (6955821.325 723539.072)
51 Ottawa / Carp Airport medium_airport 45.319199 -76.022202 382.0 Ontario Ottawa POINT (7449073.405 1173021.496)
52 North Bay Jack Garland Airport medium_airport 46.363602 -79.422798 1215.0 Ontario North Bay POINT (7162031.747 1228691.053)
54 Cornwall Regional Airport medium_airport 45.092637 -74.567724 175.0 Ontario Cornwall POINT (7567892.048 1178212.578)
55 Iqaluit Airport medium_airport 63.756402 -68.555801 110.0 Nunavut Iqaluit POINT (7290652.864 3241648.136)
56 Penticton Airport medium_airport 49.463100 -119.601997 1129.0 British Columbia Penticton POINT (4255993.935 1911131.573)
57 Yellowknife International Airport medium_airport 62.462799 -114.440002 675.0 Northwest Territories Yellowknife POINT (5093783.523 3098090.517)
58 Sydney / J.A. Douglas McCurdy Airport medium_airport 46.161400 -60.047798 203.0 Nova Scotia Sydney POINT (8584602.915 1720752.274)
61 Lethbridge County Airport medium_airport 49.630299 -112.800003 3048.0 Alberta Lethbridge POINT (4718400.699 1745031.062)
62 Brandon Municipal Airport medium_airport 49.910000 -99.951897 1343.0 Manitoba Brandon POINT (5622789.365 1566757.061)
63 Fort McMurray Airport medium_airport 56.653301 -111.222000 1211.0 Alberta Fort McMurray POINT (5057490.269 2445219.518)
64 Grande Prairie Airport medium_airport 55.179699 -118.885002 2195.0 Alberta Grande Prairie POINT (4562352.510 2462554.667)
67 Red Deer Regional Airport medium_airport 52.182201 -113.893997 2968.0 Alberta Springbrook POINT (4739706.356 2036351.640)
69 Sherbrooke Airport medium_airport 45.438599 -71.691399 792.0 Quebec Sherbrooke POINT (7776038.015 1282184.415)
70 Saint John Airport medium_airport 45.316101 -65.890297 357.0 New Brunswick Saint John POINT (8212238.171 1432988.699)
71 Huronia Airport medium_airport 44.683300 -79.928299 770.0 Ontario Midland POINT (7158789.185 1034980.769)
72 Smiths Falls-Montague (Russ Beach) Airport medium_airport 44.945801 -75.940598 416.0 Ontario Smiths Falls POINT (7465826.619 1133749.331)
73 St Thomas Municipal Airport medium_airport 42.770000 -81.110802 778.0 Ontario St Thomas POINT (7101407.835 803483.260)
75 Chris Hadfield Airport medium_airport 42.999401 -82.308899 594.0 Ontario Sarnia POINT (6997881.236 813350.052)
76 Tofino / Long Beach Airport medium_airport 49.079833 -125.775583 80.0 British Columbia Tofino POINT (3839202.894 2082484.107)
77 Brampton-Caledon Airport medium_airport 43.760300 -79.875000 935.0 Ontario NaN POINT (7182649.679 932897.533)
78 Pembroke Airport medium_airport 45.864399 -77.251701 529.0 Ontario Pembroke POINT (7339930.815 1209661.030)
80 Deer Lake Airport medium_airport 49.210800 -57.391399 72.0 Newfoundland and Labrador Deer Lake POINT (8588816.811 2116133.336)
81 Campbell River Airport medium_airport 49.950802 -125.271004 346.0 British Columbia Campbell River POINT (3919485.241 2147532.748)
82 Comox Valley Airport / CFB Comox medium_airport 49.710800 -124.887001 84.0 British Columbia Comox POINT (3930084.437 2110731.954)
83 Timmins/Victor M. Power medium_airport 48.569698 -81.376701 967.0 Ontario Timmins POINT (6971957.460 1444896.372)
84 Kenora Airport medium_airport 49.788300 -94.363098 1332.0 Ontario Kenora POINT (6020813.473 1520045.735)
85 Cranbrook/Canadian Rockies International Airport medium_airport 49.610802 -115.781998 3082.0 British Columbia Cranbrook POINT (4515927.389 1817220.541)
86 Medicine Hat Regional Airport medium_airport 50.018902 -110.721001 2352.0 Alberta Medicine Hat POINT (4873547.434 1740138.451)
88 Bromont (Roland Désourdy) Airport medium_airport 45.290798 -72.741402 375.0 Quebec Bromont POINT (7701514.360 1240887.094)
89 Trois-Rivières Airport medium_airport 46.352798 -72.679398 199.0 Quebec Trois-Rivières POINT (7670689.144 1356588.904)
90 Hope Airport / FVRD Regional Airpark medium_airport 49.368865 -121.494950 128.0 British Columbia Hope POINT (4128010.894 1961475.994)
91 Winnipeg / St. Andrews Airport medium_airport 50.056400 -97.032501 760.0 Manitoba Saint Andrews POINT (5831934.761 1561200.160)
92 Wawa Airport medium_airport 47.966702 -84.786697 942.0 Ontario Wawa POINT (6729774.729 1343364.955)
96 Dryden Regional Airport medium_airport 49.831699 -92.744202 1354.0 Ontario Dryden POINT (6137065.304 1521775.395)
97 Powell River Airport medium_airport 49.834202 -124.500000 425.0 British Columbia Powell River POINT (3961013.154 2108917.895)
98 Rouyn Noranda Airport medium_airport 48.206100 -78.835602 988.0 Quebec Rouyn-Noranda POINT (7164839.145 1439748.092)
99 Gore Bay Manitoulin Airport medium_airport 45.885300 -82.567802 623.0 Ontario Gore Bay POINT (6928762.957 1133837.909)
100 Watson Lake Airport medium_airport 60.116402 -128.822006 2255.0 Yukon Watson Lake POINT (4313406.522 3209897.619)
102 CFB Bagotville medium_airport 48.330601 -70.996399 522.0 Quebec Bagotville POINT (7723880.579 1606724.012)
103 Fort St John Airport medium_airport 56.238098 -120.739998 2280.0 British Columbia Fort St.John POINT (4508082.805 2615572.418)
104 High Level Airport medium_airport 58.621399 -117.165001 1110.0 Alberta High Level POINT (4805881.680 2764821.035)
105 Owen Sound / Billy Bishop Regional Airport medium_airport 44.590302 -80.837502 1007.0 Ontario Owen Sound POINT (7088350.926 1011416.741)
107 Centralia / James T. Field Memorial Aerodrome medium_airport 43.285599 -81.508301 824.0 Ontario Huron Park POINT (7058853.566 856028.212)
108 St Jean Airport medium_airport 45.294399 -73.281097 136.0 Quebec St Jean POINT (7660257.182 1228710.772)
110 Churchill Airport medium_airport 58.739201 -94.065002 94.0 Manitoba Churchill POINT (6076068.406 2498783.091)
111 Lloydminster Airport medium_airport 53.309200 -110.072998 2193.0 Alberta Lloydminster POINT (5020253.316 2074749.397)
112 Smithers Airport medium_airport 54.824699 -127.182999 1712.0 British Columbia Smithers POINT (4084827.874 2673414.642)
113 Stephenville Airport medium_airport 48.544201 -58.549999 84.0 Newfoundland and Labrador Stephenville POINT (8553259.843 2009058.235)
115 Revelstoke Airport medium_airport 50.962245 -118.184258 1459.0 British Columbia Revelstoke POINT (4416203.487 2020836.880)
116 Fort Nelson Airport medium_airport 58.836399 -122.597000 1253.0 British Columbia Fort Nelson POINT (4538751.897 2916478.710)
117 Port Hardy Airport medium_airport 50.680599 -127.366997 71.0 British Columbia Port Hardy POINT (3833839.527 2293328.480)
118 CFB Trenton medium_airport 44.118900 -77.528099 283.0 Ontario Trenton POINT (7362860.687 1012370.777)
119 Golden Airport medium_airport 51.299196 -116.982002 2575.0 British Columbia Golden POINT (4507610.790 2022182.816)
128 Castlegar/West Kootenay Regional Airport medium_airport 49.296398 -117.632004 1624.0 British Columbia Castlegar POINT (4378824.647 1835917.962)
129 Sept-Îles Airport medium_airport 50.223301 -66.265602 180.0 Quebec Sept-Îles POINT (7969932.806 1925812.159)
130 Northwest Regional Airport Terrace-Kitimat medium_airport 54.468498 -128.576009 713.0 British Columbia Terrace POINT (3989421.477 2687923.027)
131 Val-d'Or Airport medium_airport 48.053299 -77.782799 1107.0 Quebec Val-d'Or POINT (7245305.264 1439720.524)
132 Summerside Airport medium_airport 46.440601 -63.833599 56.0 Prince Edward Island Slemon Park POINT (8307495.485 1615018.821)
135 Dawson City Airport medium_airport 64.043098 -139.128006 1215.0 Yukon Dawson City POINT (4161869.778 3864580.654)
136 Inuvik Mike Zubko Airport medium_airport 68.304199 -133.483002 224.0 Northwest Territories Inuvik POINT (4647099.765 4058475.858)
137 Mont Joli Airport medium_airport 48.608601 -68.208099 172.0 Quebec Mont-Joli POINT (7907328.844 1706664.829)
138 Prince Albert Glass Field medium_airport 53.214199 -105.672997 1405.0 Saskatchewan Prince Albert POINT (5297894.426 1992614.818)
139 Prince Rupert Airport medium_airport 54.286098 -130.445007 116.0 British Columbia Prince Rupert POINT (3879252.493 2737942.608)
140 Rankin Inlet Airport medium_airport 62.811401 -92.115799 94.0 Nunavut Rankin Inlet POINT (6187678.686 2937415.953)
141 Elliot Lake Municipal Airport medium_airport 46.351398 -82.561401 1087.0 Ontario Elliot Lake POINT (6921616.684 1185790.112)
142 Vernon Airport medium_airport 50.248100 -119.331001 1140.0 British Columbia Vernon POINT (4310208.784 1981930.471)
146 Kuujjuaq Airport medium_airport 58.096100 -68.426903 129.0 Quebec Kuujjuaq POINT (7517110.355 2672328.485)
147 Quesnel Airport medium_airport 53.026100 -122.510002 1789.0 British Columbia Quesnel POINT (4249554.634 2352814.896)
148 Thompson Airport medium_airport 55.801102 -97.864197 729.0 Manitoba Thompson POINT (5832246.095 2194555.686)
149 Wabush Airport medium_airport 52.921902 -66.864403 1808.0 Newfoundland and Labrador Wabush POINT (7816759.714 2184155.319)
150 CFB Cold Lake medium_airport 54.404999 -110.278999 1775.0 Alberta Cold Lake POINT (5041535.707 2193613.728)
151 Shuswap Regional Airport medium_airport 50.682802 -119.228996 1751.0 British Columbia Salmon Arm POINT (4336845.194 2022616.565)
152 Slave Lake Airport medium_airport 55.293098 -114.777000 1912.0 Alberta Slave Lake POINT (4803803.884 2375993.167)
157 Peace River Airport medium_airport 56.226898 -117.446999 1873.0 Alberta Peace River POINT (4689315.200 2531541.418)
158 Williams Lake Airport medium_airport 52.183102 -122.054001 3085.0 British Columbia Williams Lake POINT (4234011.175 2256522.773)
159 Yorkton Municipal Airport medium_airport 51.264702 -102.461998 1635.0 Saskatchewan Yorkton POINT (5469894.697 1740790.920)
160 Swift Current Airport medium_airport 50.291901 -107.691002 2680.0 Saskatchewan Swift Current POINT (5089306.574 1711205.627)
161 Princeton Airport medium_airport 49.468102 -120.511002 2298.0 British Columbia Town of Princeton POINT (4196812.605 1939838.596)
164 Chapais Airport medium_airport 49.771900 -74.528099 1270.0 Quebec Chibougamau POINT (7429961.556 1683395.461)
166 Portage-la-Prairie / Southport Airport medium_airport 49.903099 -98.273817 885.0 Manitoba Portage la Prairie POINT (5742052.934 1552341.251)
167 Marathon Airport medium_airport 48.755299 -86.344398 1035.0 Ontario Marathon POINT (6605927.575 1419394.803)
168 North Battleford Airport medium_airport 52.769409 -108.243742 1799.0 Saskatchewan North Battleford POINT (5120916.450 1985187.107)
169 Saint-Georges Airport medium_airport 46.096401 -70.714699 893.0 Quebec Saint-Georges POINT (7825373.652 1377010.238)
178 Dauphin Barker Airport medium_airport 51.100800 -100.052002 999.0 Manitoba Dauphin POINT (5632587.125 1698310.139)
179 Dawson Creek Airport medium_airport 55.742298 -120.182999 2148.0 British Columbia Dawson Creek POINT (4515245.571 2552123.737)
180 Hay River / Merlyn Carter Airport medium_airport 60.839699 -115.782997 541.0 Northwest Territories Hay River POINT (4966549.430 2958839.778)
181 La Ronge Airport medium_airport 55.151402 -105.262001 1242.0 Saskatchewan La Ronge POINT (5368662.303 2194186.695)
182 Norman Wells Airport medium_airport 65.281601 -126.797997 238.0 Northwest Territories Norman Wells POINT (4697302.683 3627694.991)
183 Red Lake Airport medium_airport 51.066898 -93.793098 1265.0 Ontario Red Lake POINT (6065996.295 1660036.522)
184 Sandspit Airport medium_airport 53.254299 -131.813995 21.0 British Columbia Sandspit POINT (3741383.484 2697199.562)
185 Schefferville Airport medium_airport 54.805302 -66.805298 1709.0 Quebec Schefferville POINT (7741192.855 2376132.329)
186 The Pas Airport medium_airport 53.971401 -101.091003 887.0 Manitoba The Pas POINT (5606643.145 2020412.495)
187 CFB Greenwood medium_airport 44.984402 -64.916901 92.0 Nova Scotia Greenwood POINT (8298573.025 1430161.308)
188 Edson Airport medium_airport 53.578899 -116.464996 3043.0 Alberta Edson POINT (4635216.459 2240716.410)
189 Geraldton Greenstone Regional Airport medium_airport 49.778301 -86.939400 1144.0 Ontario Geraldton POINT (6553487.686 1529118.495)
190 Rivière-du-Loup Airport medium_airport 47.764400 -69.584702 427.0 Quebec Rivière-du-Loup POINT (7844537.096 1582287.304)
195 Baie-Comeau Airport medium_airport 49.132500 -68.204399 71.0 Quebec Baie-Comeau POINT (7886395.307 1761067.761)
196 Flin Flon Airport medium_airport 54.678101 -101.681999 997.0 Manitoba Flin Flon POINT (5580803.971 2102491.202)
197 Fond-Du-Lac Airport medium_airport 59.334400 -107.181999 814.0 Saskatchewan Fond-Du-Lac POINT (5360132.185 2662776.104)
198 Moosonee Airport medium_airport 51.291100 -80.607803 30.0 Ontario Moosonee POINT (6974851.295 1751510.950)
199 Bathurst Airport medium_airport 47.629700 -65.738899 193.0 New Brunswick South Tetagouche POINT (8119513.662 1676081.652)
200 Stony Rapids Airport medium_airport 59.250301 -105.841003 805.0 Saskatchewan Stony Rapids POINT (5430438.194 2636934.904)
201 Earlton (Timiskaming Regional) Airport medium_airport 47.697401 -79.847345 800.0 Ontario Earlton POINT (7101529.569 1369201.017)
202 Pincher Creek Airport medium_airport 49.520599 -113.997002 3903.0 Alberta Pincher Creek POINT (4632878.153 1762235.142)
203 Port Hawkesbury Airport medium_airport 45.656700 -61.368099 377.0 Nova Scotia Port Hawkesbury POINT (8519762.020 1621772.628)
204 Whitecourt Airport medium_airport 54.143902 -115.787003 2567.0 Alberta Whitecourt POINT (4698989.018 2281811.572)
213 Baker Lake Airport medium_airport 64.298897 -96.077797 59.0 Nunavut Baker Lake POINT (6002517.820 3104694.345)
214 Fort Chipewyan Airport medium_airport 58.767200 -111.116997 761.0 Alberta Fort Chipewyan POINT (5131942.907 2662546.338)
215 Gaspé (Michel-Pouliot) Airport medium_airport 48.775299 -64.478600 112.0 Quebec Gaspé POINT (8153113.658 1831102.175)
216 Lac Du Bonnet Airport medium_airport 50.294399 -96.010002 850.0 Manitoba Lac Du Bonnet POINT (5906387.597 1582169.005)
217 Sioux Lookout Airport medium_airport 50.113899 -91.905296 1258.0 Ontario Sioux Lookout POINT (6197248.481 1552616.079)
218 Charlo Airport medium_airport 47.990799 -66.330299 132.0 New Brunswick Charlo POINT (8062690.380 1695558.745)
219 Mont-Tremblant International Airport medium_airport 46.409401 -74.779999 827.0 Quebec La Macaza POINT (7512131.817 1316738.479)
220 Miramichi Airport medium_airport 47.007801 -65.449203 108.0 New Brunswick Miramichi POINT (8167655.085 1621173.149)
221 Moose Jaw Air Vice Marshal C. M. McEwen Airport medium_airport 50.330299 -105.558998 1892.0 Saskatchewan Moose Jaw POINT (5237353.908 1680591.599)
222 Alert Airport medium_airport 82.517799 -62.280602 100.0 Nunavut Alert POINT (6634672.270 5217062.971)
223 Gimli Industrial Park Airport medium_airport 50.628101 -97.043297 753.0 Manitoba Gimli POINT (5836311.399 1624330.028)
224 Manitoulin East Municipal Airport medium_airport 45.842435 -81.857595 869.0 Ontario Sheguiandah POINT (6984735.858 1137515.571)
225 Downsview Airport medium_airport 43.742500 -79.465599 652.0 Ontario Toronto POINT (7216171.066 937342.903)
226 Yarmouth Airport medium_airport 43.826900 -66.088097 141.0 Nova Scotia Yarmouth POINT (8264291.493 1271700.162)
233 Attawapiskat Airport medium_airport 52.927502 -82.431900 31.0 Ontario Attawapiskat POINT (6823709.473 1909199.983)
234 Cambridge Bay Airport medium_airport 69.108101 -105.138000 90.0 Nunavut Cambridge Bay POINT (5689523.343 3672184.957)
235 Fort Simpson Airport medium_airport 61.760201 -121.237000 555.0 Northwest Territories Fort Simpson POINT (4747870.288 3165096.278)
236 Gjoa Haven Airport medium_airport 68.635597 -95.849701 152.0 Nunavut Gjoa Haven POINT (6042569.073 3572393.703)
237 Kapuskasing Airport medium_airport 49.413898 -82.467499 743.0 Ontario Kapuskasing POINT (6878481.714 1525204.144)
238 Masset Airport medium_airport 54.027500 -132.125000 25.0 British Columbia Masset POINT (3774976.614 2777580.041)
239 St. Anthony Airport medium_airport 51.391909 -56.083210 108.0 Newfoundland and Labrador St. Anthony POINT (8541111.445 2370340.628)
240 Texada Gillies Bay Airport medium_airport 49.694199 -124.517998 326.0 British Columbia Texada POINT (3952263.724 2096026.047)
241 Mackenzie Airport medium_airport 55.304402 -123.132004 2264.0 British Columbia Mackenzie POINT (4330856.613 2591887.813)
251 Îles-de-la-Madeleine Airport medium_airport 47.425242 -61.778612 35.0 Quebec Les Îles-de-la-Madeleine POINT (8400431.828 1783701.385)
252 Natashquan Airport medium_airport 50.189999 -61.789200 39.0 Quebec Natashquan POINT (8259571.112 2057280.167)
253 Uranium City Airport medium_airport 59.561401 -108.481003 1044.0 Saskatchewan Uranium City POINT (5296810.786 2704403.936)
254 Chapleau Airport medium_airport 47.820000 -83.346703 1470.0 Ontario Chapleau POINT (6839122.877 1340335.018)
255 Charlevoix Airport medium_airport 47.597500 -70.223900 977.0 Quebec Charlevoix POINT (7805450.112 1548402.540)
256 Estevan Airport medium_airport 49.210300 -102.966003 1905.0 Saskatchewan Estevan POINT (5396016.288 1522693.118)
257 Kindersley Airport medium_airport 51.517502 -109.181000 2277.0 Saskatchewan Kindersley POINT (5023609.522 1868834.479)
258 Rimouski Airport medium_airport 48.478100 -68.496902 82.0 Quebec Rimouski POINT (7892661.825 1685390.284)
273 Fort Frances Municipal Airport medium_airport 48.655749 -93.443490 1125.0 Ontario Fort Frances POINT (6083682.976 1392120.864)
274 Fort Good Hope Airport medium_airport 66.240799 -128.651001 268.0 Northwest Territories Fort Good Hope POINT (4683113.674 3759365.309)
275 Fort Smith Airport medium_airport 60.020302 -111.961998 671.0 Northwest Territories Fort Smith POINT (5128789.467 2806115.018)
276 Kasabonika Airport medium_airport 53.524700 -88.642799 672.0 Ontario Kasabonika POINT (6410494.698 1933709.601)
277 Kashechewan Airport medium_airport 52.282501 -81.677803 35.0 Ontario Kashechewan POINT (6884456.102 1846910.728)
278 Kugluktuk Airport medium_airport 67.816704 -115.143997 74.0 Nunavut Kugluktuk POINT (5267999.021 3651157.272)
279 Kuujjuarapik Airport medium_airport 55.281898 -77.765297 34.0 Quebec Kuujjuarapik POINT (7071321.874 2217550.851)
280 La Grande Rivière Airport medium_airport 53.625301 -77.704201 639.0 Quebec La Grande Rivière POINT (7115040.709 2041694.229)
281 Old Crow Airport medium_airport 67.570602 -139.839005 824.0 Yukon Old Crow POINT (4398430.558 4165559.207)
282 Resolute Bay Airport medium_airport 74.716904 -94.969398 215.0 Nunavut Resolute Bay POINT (6109732.237 4234138.171)
283 Roberval Airport medium_airport 48.520000 -72.265602 586.0 Quebec Roberval POINT (7627857.592 1597323.752)
284 Swan River Airport medium_airport 52.120602 -101.236000 1100.0 Manitoba Swan River POINT (5567566.521 1820823.274)
285 Wollaston Lake Airport medium_airport 58.106899 -103.171997 1360.0 Saskatchewan Wollaston Lake POINT (5553753.714 2485612.956)
286 Bella Bella (Campbell Island) Airport medium_airport 52.185001 -128.156994 141.0 British Columbia Bella Bella POINT (3876564.819 2462646.684)
287 Havre-Saint-Pierre Airport medium_airport 50.281898 -63.611401 124.0 Quebec Havre-Saint-Pierre POINT (8139034.589 2009124.806)
288 Hearst René Fontaine Municipal Airport medium_airport 49.714199 -83.686096 827.0 Ontario Hearst POINT (6786764.344 1546095.395)
289 Meadow Lake Airport medium_airport 54.125301 -108.523003 1576.0 Saskatchewan Meadow Lake POINT (5141422.974 2133559.192)
312 Deer Lake Airport medium_airport 52.655800 -94.061401 1092.0 Ontario Deer Lake POINT (6053377.361 1835543.552)
313 Fort Hope Airport medium_airport 51.561901 -87.907799 899.0 Ontario Fort Hope POINT (6471848.521 1721082.620)
314 Grise Fiord Airport medium_airport 76.426102 -82.909203 146.0 Nunavut Grise Fiord POINT (6433259.130 4437775.626)
315 Pickle Lake Airport medium_airport 51.446400 -90.214203 1267.0 Ontario Pickle Lake POINT (6313863.140 1701363.636)
316 Points North Landing Airport medium_airport 58.276699 -104.082001 1605.0 Saskatchewan Points North Landing POINT (5505869.265 2513318.531)
317 Rainbow Lake Airport medium_airport 58.491402 -119.407997 1759.0 Alberta Rainbow Lake POINT (4683837.295 2803233.909)
318 Tuktoyaktuk / James Gruben Airport medium_airport 69.433296 -133.026001 15.0 Northwest Territories Tuktoyaktuk POINT (4735552.729 4145124.482)
319 Alma Airport medium_airport 48.508900 -71.641899 445.0 Quebec Alma POINT (7672161.647 1610365.643)
320 Bella Coola Airport medium_airport 52.387501 -126.596001 117.0 British Columbia Bella Coola POINT (3977675.553 2425758.298)
321 Bonnyville Airport medium_airport 54.304199 -110.744003 1836.0 Alberta Bonnyville POINT (5009907.257 2191643.158)
322 Burns Lake Airport medium_airport 54.376400 -125.950996 2343.0 British Columbia Burns Lake POINT (4126242.020 2590949.174)
323 Atikokan Municipal Airport medium_airport 48.773899 -91.638603 1408.0 Ontario Atikokan POINT (6216777.397 1403863.267)
324 Bonaventure Airport medium_airport 48.071098 -65.460297 123.0 Quebec Bonaventure POINT (8118912.602 1729647.667)
325 Kirkland Lake Airport medium_airport 48.210300 -79.981400 1157.0 Ontario Kirkland Lake POINT (7080953.458 1423581.823)
345 Arviat Airport medium_airport 61.094200 -94.070801 32.0 Nunavut Arviat POINT (6084578.812 2753711.935)
346 Lourdes-de-Blanc-Sablon Airport medium_airport 51.443600 -57.185299 121.0 Quebec Blanc-Sablon POINT (8473476.317 2335210.736)
347 Cartwright Airport medium_airport 53.682501 -57.042303 40.0 Newfoundland and Labrador Cartwright POINT (8353790.932 2550451.863)
348 Déline Airport medium_airport 65.211098 -123.435997 703.0 Northwest Territories Déline POINT (4825498.930 3545031.714)
349 Fort Mcpherson Airport medium_airport 67.407501 -134.860992 116.0 Northwest Territories Fort Mcpherson POINT (4542818.388 4016796.591)
350 Inukjuak Airport medium_airport 58.471901 -78.076897 83.0 Quebec Inukjuak POINT (6977714.707 2552278.501)
351 Nemiscau Airport medium_airport 51.691101 -76.135597 802.0 Quebec Nemiscau POINT (7266450.854 1859414.226)
352 Norway House Airport medium_airport 53.958302 -97.844200 734.0 Manitoba Norway House POINT (5814576.266 1994001.380)
353 Pangnirtung Airport medium_airport 66.144997 -65.713600 75.0 Nunavut Pangnirtung POINT (7313290.421 3529893.460)
354 Pikangikum Airport medium_airport 51.819698 -93.973297 1114.0 Ontario Pikangikum POINT (6056215.125 1743409.974)
355 Qikiqtarjuaq Airport medium_airport 67.546232 -64.031754 21.0 Nunavut Qikiqtarjuaq POINT (7316137.706 3697583.394)
356 Hall Beach Airport medium_airport 68.776100 -81.242500 30.0 Nunavut Sanirajak POINT (6615713.513 3617504.490)
357 Alert Bay Airport medium_airport 50.582199 -126.916000 240.0 British Columbia Alert Bay POINT (3855073.758 2267376.764)
358 Cache Creek-Ashcroft Regional Airport medium_airport 50.775258 -121.321314 2034.0 British Columbia Cache Creek POINT (4208870.636 2095234.120)
359 Chetwynd Airport medium_airport 55.687199 -121.626999 2000.0 British Columbia Chetwynd POINT (4432814.481 2585915.543)
360 Digby / Annapolis Regional Airport medium_airport 44.545845 -65.785425 499.0 Nova Scotia Digby POINT (8254633.346 1356414.338)
361 Fort Resolution Airport medium_airport 61.180801 -113.690002 526.0 Northwest Territories Fort Resolution POINT (5082421.316 2954705.022)
362 Grand Forks Airport medium_airport 49.015598 -118.431000 1720.0 British Columbia Grand Forks POINT (4312958.727 1830602.025)
363 Stewart Airport medium_airport 55.935410 -129.982435 24.0 British Columbia Stewart POINT (4005216.636 2869865.746)
364 Virden / RJ (Bob) Andrew Field Regional Aerodrome medium_airport 49.878300 -100.917999 1454.0 Manitoba Virden POINT (5553761.346 1572566.329)
397 Cat Lake Airport medium_airport 51.727200 -91.824402 1344.0 Ontario Cat Lake POINT (6202892.019 1730839.055)
398 Chesterfield Inlet Airport medium_airport 63.346901 -90.731102 32.0 Nunavut Chesterfield Inlet POINT (6255125.454 2995761.199)
399 Chevery Airport medium_airport 50.468899 -59.636700 39.0 Quebec Chevery POINT (8379625.271 2156261.294)
400 Coral Harbour Airport medium_airport 64.193298 -83.359398 210.0 Nunavut Coral Harbour POINT (6599575.061 3113503.383)
401 Fort Albany Airport medium_airport 52.201401 -81.696899 48.0 Ontario Fort Albany POINT (6884604.701 1837897.005)
402 Fort Severn Airport medium_airport 56.018902 -87.676102 48.0 Ontario Fort Severn POINT (6455587.336 2209366.938)
403 Gillam Airport medium_airport 56.357498 -94.710602 476.0 Manitoba Gillam POINT (6028126.080 2241672.563)
404 Gods River Airport medium_airport 54.839699 -94.078598 627.0 Manitoba Gods River POINT (6060547.865 2074704.341)
405 Igloolik Airport medium_airport 69.364700 -81.816101 174.0 Nunavut Igloolik POINT (6583407.691 3676952.530)
406 Cape Dorset Airport medium_airport 64.230003 -76.526703 164.0 Nunavut Kinngait POINT (6914717.846 3177313.745)
407 Lynn Lake Airport medium_airport 56.863899 -101.075996 1170.0 Manitoba Lynn Lake POINT (5653142.248 2332606.767)
408 Nakina Airport medium_airport 50.182800 -86.696404 1057.0 Ontario Nakina POINT (6567243.287 1575180.371)
409 Pond Inlet Airport medium_airport 72.683296 -77.966698 181.0 Nunavut Pond Inlet POINT (6649802.697 4057740.204)
410 Salluit Airport medium_airport 62.179401 -75.667198 743.0 Quebec Salluit POINT (7009757.072 2972750.240)
411 Sandy Lake Airport medium_airport 53.064201 -93.344398 951.0 Ontario Sandy Lake POINT (6102309.018 1878998.468)
412 Shamattawa Airport medium_airport 55.865601 -92.081398 289.0 Manitoba Shamattawa POINT (6186837.430 2184258.335)
413 Tulita Airport medium_airport 64.909697 -125.572998 332.0 Northwest Territories Tulita POINT (4724547.468 3564522.741)
414 Waskaganish Airport medium_airport 51.473301 -78.758301 80.0 Quebec Waskaganish POINT (7096346.890 1795542.134)
415 Webequie Airport medium_airport 52.959393 -87.374868 685.0 Ontario Webequie POINT (6497538.831 1876869.007)
416 Wemindji Airport medium_airport 53.010601 -78.831100 66.0 Quebec Wemindji POINT (7057019.400 1960108.775)
417 Whale Cove Airport medium_airport 62.240002 -92.598099 40.0 Nunavut Whale Cove POINT (6163116.059 2875836.572)
418 York Landing Airport medium_airport 56.089401 -96.089203 621.0 Manitoba York Landing POINT (5942975.155 2217160.942)
419 Anahim Lake Airport medium_airport 52.451501 -125.303776 3635.0 British Columbia Anahim Lake POINT (4055964.402 2387454.384)
420 Atlin Airport medium_airport 59.576698 -133.669006 2348.0 British Columbia Atlin POINT (4064429.451 3315581.482)
421 Petawawa Airport medium_airport 45.952202 -77.319199 427.0 Ontario Petawawa POINT (7332516.837 1218084.086)
422 Dolbeau St Felicien Airport medium_airport 48.778500 -72.375000 372.0 Quebec Dolbeau-St-Félicien POINT (7611456.381 1622319.034)
423 Key Lake Airport medium_airport 57.256100 -105.617996 1679.0 Saskatchewan Key Lake POINT (5396092.406 2422841.982)
424 Little Grand Rapids Airport medium_airport 52.045601 -95.465797 1005.0 Manitoba Little Grand Rapids POINT (5955839.776 1772813.994)
425 Poplar River Airport medium_airport 52.996526 -97.274194 728.0 Manitoba Poplar River POINT (5842282.803 1885650.140)
426 Puvirnituq Airport medium_airport 60.050598 -77.286903 74.0 Quebec Puvirnituq POINT (6982629.070 2728850.282)
427 Saint-Léonard Airport medium_airport 47.157097 -67.836242 793.0 New Brunswick Saint-Léonard POINT (7992686.463 1566037.734)
428 St Augustin Airport medium_airport 51.211700 -58.658298 20.0 Quebec St-Augustin POINT (8398837.613 2261395.140)
477 Aklavik/Freddie Carmichael Airport medium_airport 68.223297 -135.005990 23.0 Northwest Territories Aklavik POINT (4593567.517 4089405.807)
478 Big Trout Lake Airport medium_airport 53.817799 -89.896896 729.0 Ontario Big Trout Lake POINT (6327651.523 1962467.215)
479 Gods Lake Narrows Airport medium_airport 54.558899 -94.491402 617.0 Manitoba Gods Lake Narrows POINT (6033270.036 2045030.287)
480 Ilford Airport medium_airport 56.051630 -95.620523 642.0 Manitoba Ilford POINT (5971225.644 2211263.592)
481 Island Lake Airport medium_airport 53.857201 -94.653603 770.0 Manitoba Island Lake POINT (6019609.779 1968758.691)
482 Nain Airport medium_airport 56.550778 -61.682224 22.0 Newfoundland and Labrador Nain POINT (7947472.859 2681467.597)
483 Paulatuk (Nora Aliqatchialuk Ruben) Airport medium_airport 69.360838 -124.075470 15.0 Northwest Territories Paulatuk POINT (5018028.856 3952003.945)
484 Peawanuck Airport medium_airport 54.988098 -85.443298 173.0 Ontario Peawanuck POINT (6602723.159 2108842.348)
485 Naujaat Airport medium_airport 66.521400 -86.224701 80.0 Nunavut Repulse Bay POINT (6443140.841 3349245.773)
486 Round Lake (Weagamow Lake) Airport medium_airport 52.943600 -91.312798 974.0 Ontario Round Lake POINT (6236733.698 1864784.649)
487 Sachigo Lake Airport medium_airport 53.891102 -92.196404 876.0 Ontario Sachigo Lake POINT (6178669.610 1968574.185)
488 Sachs Harbour (David Nasogaluak Jr. Saaryuaq) ... medium_airport 71.993896 -125.242996 282.0 Northwest Territories Sachs Harbour POINT (5122790.954 4222266.132)
489 Taloyoak Airport medium_airport 69.546700 -93.576698 92.0 Nunavut Taloyoak POINT (6135033.022 3667240.887)
490 Armstrong Airport medium_airport 50.290298 -88.909698 1058.0 Ontario Armstrong POINT (6409635.780 1577022.392)
491 Beaver Creek Airport medium_airport 62.410301 -140.867004 2131.0 Yukon Beaver Creek POINT (3979085.691 3794478.301)
492 Cochrane Airport medium_airport 49.105598 -81.013603 861.0 Ontario Cochrane POINT (6988296.558 1508146.158)
493 Cross Lake (Charlie Sinclair Memorial) Airport medium_airport 54.610600 -97.760803 709.0 Manitoba Cross Lake POINT (5826541.678 2064557.667)
494 Hornepayne Municipal Airport medium_airport 49.193100 -84.758904 1099.0 Ontario Hornepayne POINT (6716612.172 1479349.858)
495 Kelsey Airport medium_airport 56.037498 -96.509697 600.0 Manitoba Kelsey POINT (5917010.723 2213304.162)
496 Lac Brochet Airport medium_airport 58.617500 -101.469002 1211.0 Manitoba Lac Brochet POINT (5658628.076 2524383.432)
497 Teslin Airport medium_airport 60.172798 -132.742996 2313.0 Yukon Teslin POINT (4143639.882 3336468.632)
580 Akulivik Airport medium_airport 60.818600 -78.148598 75.0 Quebec Akulivik POINT (6919325.188 2799763.696)
581 Eastmain River Airport medium_airport 52.226398 -78.522499 24.0 Quebec Eastmain River POINT (7094960.724 1880025.522)
582 Hopedale Airport medium_airport 55.448757 -60.228124 39.0 Newfoundland and Labrador Hopedale POINT (8082080.869 2616758.516)
583 Ivujivik Airport medium_airport 62.417301 -77.925301 126.0 Quebec Ivujivik POINT (6893254.008 2971071.438)
584 Kangiqsualujjuaq (Georges River) Airport medium_airport 58.711399 -65.992798 215.0 Quebec Kangiqsualujjuaq POINT (7620223.941 2786537.411)
585 Kangirsuk Airport medium_airport 60.027199 -69.999199 403.0 Quebec Kangirsuk POINT (7361833.593 2837931.607)
586 Lutselk'e Airport medium_airport 62.418303 -110.681998 596.0 Northwest Territories Lutselk'e POINT (5270574.209 3033377.968)
587 Makkovik Airport medium_airport 55.077335 -59.187942 234.0 Newfoundland and Labrador Makkovik POINT (8158438.564 2612691.487)
588 Muskrat Dam Airport medium_airport 53.441399 -91.762802 911.0 Ontario Muskrat Dam POINT (6206799.401 1919247.190)
589 Oxford House Airport medium_airport 54.933300 -95.278900 663.0 Manitoba Oxford House POINT (5985482.439 2088260.245)
590 Sanikiluaq Airport medium_airport 56.537800 -79.246696 104.0 Nunavut Sanikiluaq POINT (6954080.115 2332514.316)
591 St. Theresa Point Airport medium_airport 53.845600 -94.851898 773.0 Manitoba St. Theresa Point POINT (6006724.188 1968071.925)
592 Ulukhaktok Holman Airport medium_airport 70.762802 -117.806000 117.0 Northwest Territories Ulukhaktok POINT (5293961.363 3986007.431)
593 Umiujaq Airport medium_airport 56.536098 -76.518303 250.0 Quebec Umiujaq POINT (7114266.226 2368120.428)
594 Berens River Airport medium_airport 52.358898 -97.018303 728.0 Manitoba Berens River POINT (5853504.347 1814415.075)
595 Brochet Airport medium_airport 57.889400 -101.679001 1136.0 Manitoba Brochet POINT (5634738.757 2448101.442)
596 Kangiqsujuaq (Wakeham Bay) Airport medium_airport 61.588600 -71.929398 501.0 Quebec Kangiqsujuaq POINT (7210733.625 2964906.069)
597 Kugaaruk Airport medium_airport 68.534401 -89.808098 56.0 Nunavut Kugaaruk POINT (6281759.858 3557810.065)
598 Tadoule Lake Airport medium_airport 58.706100 -98.512199 923.0 Manitoba Tadoule Lake POINT (5825589.206 2512627.944)
599 Amos/Magny Airport medium_airport 48.563903 -78.249702 1068.0 Quebec Amos POINT (7199096.480 1487805.769)
600 Blue River Airport medium_airport 52.116699 -119.282997 2240.0 British Columbia Blue River POINT (4399478.756 2167893.265)
601 Burwash Airport medium_airport 61.371101 -139.041000 2647.0 Yukon Burwash Landing POINT (3969788.093 3648816.984)
602 Forestville Airport medium_airport 48.746101 -69.097198 293.0 Quebec Forestville POINT (7840624.095 1697567.249)
603 Fort Liard Airport medium_airport 60.235802 -123.469002 708.0 Northwest Territories Fort Liard POINT (4567770.507 3072845.928)
604 Haines Junction Airport medium_airport 60.789200 -137.546005 2150.0 Yukon Haines Junction POINT (3986191.590 3549669.620)
605 La Grande-4 Airport medium_airport 53.754700 -73.675301 1005.0 Quebec La Grande-4 POINT (7365026.840 2121322.294)
606 Matagami Airport medium_airport 49.761700 -77.802803 918.0 Quebec Matagami POINT (7202161.918 1624826.246)
607 Matane Airport medium_airport 48.856899 -67.453300 102.0 Quebec Matane POINT (7948791.811 1752862.622)
608 Mayo Airport medium_airport 63.616402 -135.867996 1653.0 Yukon Mayo POINT (4248788.934 3727566.126)
609 Nipawin Airport medium_airport 53.332500 -104.008003 1220.0 Saskatchewan Nipawin POINT (5407730.468 1983145.516)
610 Pikwitonei Airport medium_airport 55.588902 -97.164200 630.0 Manitoba Pikwitonei POINT (5873137.313 2167684.404)
611 Port Menier Airport medium_airport 49.836399 -64.288597 167.0 Quebec Port-Menier POINT (8116285.882 1943922.278)
612 Pukatawagan Airport medium_airport 55.749199 -101.265999 958.0 Manitoba Pukatawagan POINT (5624066.213 2214177.495)
613 Red Sucker Lake Airport medium_airport 54.167198 -93.557198 729.0 Manitoba Red Sucker Lake POINT (6091456.648 2000186.877)
614 South Indian Lake Airport medium_airport 56.792801 -98.907204 951.0 Manitoba South Indian Lake POINT (5780464.409 2308455.956)
615 Tasiujaq Airport medium_airport 58.667801 -69.955803 122.0 Quebec Tasiujaq POINT (7413800.050 2700052.084)
616 Thicket Portage Airport medium_airport 55.318901 -97.707802 678.0 Manitoba Thicket Portage POINT (5836985.065 2141286.710)
742 Aupaluk Airport medium_airport 59.296700 -69.599701 119.0 Quebec Aupaluk POINT (7409335.358 2770954.024)
743 Clyde River Airport medium_airport 70.486099 -68.516701 87.0 Nunavut Clyde River POINT (7030752.127 3922747.129)
744 Kimmirut Airport medium_airport 62.848253 -69.877853 175.0 Nunavut Kimmirut POINT (7264619.723 3127250.837)
745 Lansdowne House Airport medium_airport 52.195599 -87.934196 834.0 Ontario Lansdowne House POINT (6465725.975 1790629.080)
746 Mary's Harbour Airport medium_airport 52.302837 -55.847626 38.0 Newfoundland and Labrador Mary's Harbour POINT (8501017.279 2463709.941)
748 Herschel Island Field medium_airport 69.548229 -139.091608 19.0 Yukon Herschel Island (Yukon Territory) POINT (4566112.682 4302570.387)
750 Ekati Airport medium_airport 64.698898 -110.614998 1536.0 Northwest Territories Ekati POINT (5345393.441 3268257.367)
751 Faro Airport medium_airport 62.207500 -133.376007 2351.0 Yukon Faro POINT (4250075.976 3531956.768)
752 Manitouwadge Airport medium_airport 49.083900 -85.860603 1198.0 Ontario Manitouwadge POINT (6637942.040 1459009.029)
753 Nejanilini Lake Airport medium_airport 59.487499 -97.780296 1000.0 Manitoba Nejanilini Lake POINT (5874563.001 2592901.741)
754 Ross River Airport medium_airport 61.970600 -132.423004 2314.0 Yukon Ross River POINT (4273270.712 3482448.067)
755 Wrigley Airport medium_airport 63.209400 -123.436996 489.0 Northwest Territories Wrigley POINT (4722433.427 3354814.996)
1097 Rae Lakes Airport medium_airport 64.116096 -117.309998 723.0 Northwest Territories Gamètì POINT (5029851.400 3315607.765)
1098 Quaqtaq Airport medium_airport 61.046398 -69.617798 103.0 Quebec Quaqtaq POINT (7343468.037 2948591.170)
1099 Bamfield Airstrip medium_airport 48.820600 -125.119300 232.0 British Columbia Bamfield POINT (3866209.432 2033355.849)
1100 Ignace Municipal Airport medium_airport 49.428204 -91.720418 1435.0 Ontario Ignace POINT (6210591.861 1476583.274)
1101 Jenpeg Airport medium_airport 54.518902 -98.046097 729.0 Manitoba Jenpeg POINT (5807548.350 2056295.232)
1102 Leaf Rapids Airport medium_airport 56.513302 -99.985298 959.0 Manitoba Leaf Rapids POINT (5712676.024 2285936.763)
In [79]:
#unimos las geometrías de los aeropuertos medianos
medium_airport.unary_union
Out[79]:
In [81]:
#convertimos en multipunto
gpd.GeoSeries(medium_airport.unary_union)
Out[81]:
0    MULTIPOINT (3741383.484 2697199.562, 3774976.6...
dtype: geometry
In [82]:
medium_airport.unary_union.convex_hull
Out[82]:
In [83]:
type(medium_airport.unary_union.convex_hull)
Out[83]:
shapely.geometry.polygon.Polygon
In [85]:
#Aplicamos el código para plotear, el cual funciona para una geoserie
gpd.GeoSeries(medium_airport.unary_union.convex_hull).plot()
Out[85]:
<Axes: >
In [86]:
# convertimos en gdf la geoSerie
MediumAirport_hull=gpd.GeoSeries(medium_airport.unary_union.convex_hull).to_frame()
MediumAirport_hull
Out[86]:
0
0 POLYGON ((6955821.325 723539.072, 4312958.727 ...
In [88]:
#renombramos la columna 0
MediumAirport_hull.rename(columns={0:'geometry'},inplace=True)
#a la columna name le agregamos el valor de "medium airport hull"
MediumAirport_hull['name']='medium airport hull'
MediumAirport_hull=MediumAirport_hull.set_geometry('geometry')
#asignamos el crs
MediumAirport_hull.crs="EPSG:3347"
# verificamos la aplicación:
MediumAirport_hull.crs
Out[88]:
<Projected CRS: EPSG:3347>
Name: NAD83 / Statistics Canada Lambert
Axis Info [cartesian]:
- E[east]: Easting (metre)
- N[north]: Northing (metre)
Area of Use:
- name: Canada - onshore and offshore - Alberta; British Columbia; Manitoba; New Brunswick; Newfoundland and Labrador; Northwest Territories; Nova Scotia; Nunavut; Ontario; Prince Edward Island; Quebec; Saskatchewan; Yukon.
- bounds: (-141.01, 38.21, -40.73, 86.46)
Coordinate Operation:
- name: Statistics Canada Lambert
- method: Lambert Conic Conformal (2SP)
Datum: North American Datum 1983
- Ellipsoid: GRS 1980
- Prime Meridian: Greenwich
In [95]:
base=canada_3347.plot(facecolor='turquoise')
medium_airport.plot(ax=base)
MediumAirport_hull.plot(ax=base,facecolor='mediumpurple',
                       edgecolor='white',alpha=0.4,
                       hatch='X')
Out[95]:
<Axes: >
In [96]:
MediumAirport_hull.explore()
Out[96]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [97]:
#Ejercicio 7
In [4]:
#Imprimimos que geometrías de las provincias no son válidas
canada_provinces[~canada_provinces.is_valid]
Out[4]:
PRUID DGUID PRNAME PRENAME PRFNAME PREABBR PRFABBR LANDAREA geometry
5 35 2021A000235 Ontario Ontario Ontario Ont. Ont. 8.924118e+05 MULTIPOLYGON (((7146731.034 1071348.914, 71467...
12 62 2021A000262 Nunavut Nunavut Nunavut Nvt. Nt 1.836994e+06 MULTIPOLYGON (((6990267.260 1768670.111, 69902...
In [5]:
#Graficamos la invalidez
canada_provinces[~canada_provinces.is_valid].plot()
Out[5]:
<Axes: >
In [6]:
#corregimos las geometrías
from shapely.validation import explain_validity, make_valid

explain_validity(canada_provinces[~canada_provinces.is_valid].geometry)
Out[6]:
5     Ring Self-intersection[7159707.12571432 104516...
12    Ring Self-intersection[6367091.37142861 401805...
Name: geometry, dtype: object
In [ ]:
#creamos una copia a las geometrías inválidas
CanadaProv_valid=canada_provinces[~canada_provinces.is_valid].copy()
#Resolvemos el problema
CanadaProv_valid['geometry'] = [make_valid(row)  if not row.is_valid else row for row in canada_provinces['geometry'] ]
In [102]:
#Imprimimos que geometrías de las provincias no son válidas
canada_census[~canada_census.is_valid]
Out[102]:
CDUID DGUID CDNAME CDTYPE LANDAREA PRUID geometry
179 3543 2021A00033543 Simcoe CTY 4818.9317 35 MULTIPOLYGON (((7177118.911 1047854.583, 71771...
180 3544 2021A00033544 Muskoka DM 3839.4716 35 MULTIPOLYGON (((7146731.034 1071348.914, 71467...
290 6204 2021A00036204 Qikiqtaaluk REG 970554.6112 62 MULTIPOLYGON (((6990267.260 1768670.111, 69902...
292 6208 2021A00036208 Kitikmeot REG 432108.0040 62 MULTIPOLYGON (((5541699.500 3510034.311, 55416...
In [112]:
#Graficamos la invalidez
canada_census[~canada_census.is_valid].plot()
Out[112]:
<Axes: >
In [ ]:
# verificamos los tipos de validez de las geometrías de censos
canada_census['validity']=[x.split('[')[0] for x in canada_census.geometry.apply(lambda x: explain_validity(x))]
canada_census['validity'].value_counts()
In [ ]:
#eliminamos la columna validity
canada_census.drop(columns=['validity'],inplace=True)
#creamos una copia de los censos
CanadaCensus_valid=canada_census.copy()
#Se realizan las correcciones a las geometrías no válidas
CanadaCensus_valid['geometry'] = [make_valid(row)  if not row.is_valid else row for row in CanadaCensus_valid['geometry'] ]
#verificamos si hay geometrías inválidas en la nueva data
CanadaCensus_valid[~CanadaCensus_valid.is_valid]
In [ ]:
#Vemos la lista de geometrías obtenidas en la data
[x for x in CanadaCensus_valid["geometry"]]